Universal Approximation of Operators with Transformers and Neural Integral Operators

We study the universal approximation properties of transformers and neural integral operators for operators in Banach spaces. In particular, we show that the transformer architecture is a universal approximator of integral operators between Hölder spaces. Moreover, we show that a generalized version of neural integral operators, based on the Gavurin integral, treats them as universal approximators of arbitrary operators between Banach spaces. Lastly, we show that a modified version of the transformer, which uses Leray–Schauder mappings, is a universal approximator of operators between arbitrary Banach spaces.

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Publication Details

Journal
Axioms
Published
2026-09-11
DOI
https://doi.org/10.3390/axioms15090676
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Universal Approximation of Operators with Transformers and Neural Integral Operators

Emanuele Zappala, Maryam Bagherian
Axioms
Approximation Theory and Sequence Spaces
article

Universal Approximation of Operators with Transformers and Neural Integral Operators

Emanuele Zappala, Maryam Bagherian
article en

Abstract

We study the universal approximation properties of transformers and neural integral operators for operators in Banach spaces. In particular, we show that the transformer architecture is a universal approximator of integral operators between Hölder spaces. Moreover, we show that a generalized version of neural integral operators, based on the Gavurin integral, treats them as universal approximators of arbitrary operators between Banach spaces. Lastly, we show that a modified version of the transformer, which uses Leray–Schauder mappings, is a universal approximator of operators between arbitrary Banach spaces.

AxiomsVol. 15(9)
Idaho State University (US)
Openalex Percentile: Top 99%
Approximation Theory and Sequence Spaces
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